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Assoc Prof Dr. Yang Liu | multi-agent system | Best Researcher Award

Assoc Prof Dr at Beihang University China

Yang Liu is an Associate Professor in the School of Automation Science and Electrical Engineering at Beihang University. She holds a B.S. in Mathematics and a Ph.D. in Control Theory and Applications from the same institution. Since joining Beihang University in 2010, her research has focused on multi-agent systems and distributed control. Liu has led 13 major projects, including those funded by the National Natural Science Foundation of China, and has published over 80 papers. Her work is widely cited, with over 1,000 citations from renowned scholars. Liu has also contributed significantly to academic forums and professional committees in her field.

Profile

Scholar

 

šŸ† Strengths for the Award:

  1. Academic Excellence:
    • Yang Liu has an impressive academic background with both B.S. and Ph.D. degrees from Beihang University in control theory and applications.
    • Her position as an Associate Professor at Beihang University and involvement in the Seventh Research Division underscores her academic prowess and dedication.
  2. Research Contributions:
    • She has a robust publication record with over 80 papers, including 34 SCI articles, reflecting significant contributions to the field of multi-agent system distributed control.
    • Her research has been highly cited, with more than 1,000 citations from a diverse group of international researchers, including academicians and IEEE Fellows, indicating her work’s influence and recognition in the academic community.
  3. Innovative Methods:
    • Yang Liuā€™s development of the Hāˆž consensus control method for high-order uncertain multiple agents and the iterative learning control method for formation structures has received high praise from esteemed professors in the field, highlighting her innovative contributions.
  4. Awards and Recognition:
    • She has received prestigious awards such as the First Prize of the Natural Science Award and the Technological Invention Award from the Ministry of Education, showcasing her impactful research and technological advancements.
  5. Professional Engagement:
    • Her roles as deputy secretary-general of the Intelligent Aerospace Systems Professional Committee of the Chinese Association for Artificial Intelligence and chairperson of the System Foundation Forum demonstrate her active participation and leadership in professional communities.
  6. Collaborations and Projects:
    • Participation in national programs like the National 973 Program and the Key Projects of the National Natural Science Foundation of China highlights her ability to secure and contribute to major research initiatives.

āš™ļø Areas for Improvement:

  1. Industry Impact:
    • Increasing the direct impact of her research on industry practices and applications could further enhance the practical relevance of her work. Engaging more with industry partners and translating research findings into commercial solutions would be beneficial.
  2. Community Engagement:
    • Expanding outreach activities to involve and educate the broader community about her research could amplify the societal impact. Workshops, public lectures, and collaborations with community organizations could bridge the gap between research and community benefits.
  3. Interdisciplinary Projects:
    • Initiating and participating in more interdisciplinary projects could provide fresh perspectives and novel applications of her research, potentially leading to groundbreaking innovations and wider societal impact.

 

Publication:šŸ“

Iterative Learning Approach to Formation Control of Multi-Agent Systems

  • Journal: Systems & Control Letters
  • Volume: 61 (1)
  • Pages: 148-154
  • Citations: 246
  • Year: 2012

 

2. Hāˆž Consensus Control of Multi-Agent Systems with Switching Topology: A Dynamic Output Feedback Protocol

  • Journal: International Journal of Control
  • Volume: 83 (3)
  • Pages: 527-537
  • Citations: 166
  • Year: 2010

 

3. Consensus Problem of Highā€Order Multiā€Agent Systems with External Disturbances: An Hāˆž Analysis Approach

  • Journal: International Journal of Robust and Nonlinear Control
  • Volume: 20 (14)
  • Pages: 1579-1593
  • Citations: 122
  • Year: 2010

 

4. Video-Based Fall Detection for Seniors with Human Pose Estimation

  • Conference: 2018 4th International Conference on Universal Village (UV)
  • Pages: 1-4
  • Citations: 100
  • Year: 2018

 

5. Robust Hāˆž Consensus Control of Uncertain Multi-Agent Systems with Time Delays

  • Journal: International Journal of Control, Automation and Systems
  • Volume: 9 (6)
  • Pages: 1086-1094
  • Citations: 92
  • Year: 2011

 

6. Hāˆž Consensus Control for Multi-Agent Systems with Linear Coupling Dynamics and Communication Delays

  • Journal: International Journal of Systems Science
  • Volume: 43 (1)
  • Pages: 50-62
  • Citations: 84
  • Year: 2012

 

7. Dynamic Output Feedback Control for Consensus of Multi-Agent Systems: An Hāˆž Approach

  • Conference: 2009 American Control Conference
  • Pages: 4470-4475
  • Citations: 83
  • Year: 2009

 

8. Adaptive Leader-Following Consensus Control of Multi-Agent Systems Using Model Reference Adaptive Control Approach

  • Journal: IET Control Theory & Applications
  • Volume: 6 (13)
  • Pages: 2002-2008
  • Citations: 75
  • Year: 2012

 

9. Formation Control of Discrete-Time Multi-Agent Systems by Iterative Learning Approach

  • Journal: International Journal of Control, Automation and Systems
  • Volume: 10 (5)
  • Pages: 913-919
  • Citations: 48
  • Year: 2012

šŸ“ Conclusion

Yang Liu is a highly suitable candidate for the Research for Community Impact Award. Her extensive and impactful research in multi-agent system distributed control, combined with her significant academic achievements and professional contributions, positions her as a leading researcher in her field. By enhancing her industry and community engagement, she can further extend the reach and impact of her work, making her an even stronger candidate for this award. Her dedication to advancing control theory and its applications reflects her potential to make substantial contributions to both the academic community and society at large.

 

Yang Liu | multi-agent system | Best Researcher Award